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Conventional supervised object recognition methods have been investigated for many years. Despite their successes, there are still two suffering limitations: (1) various information of an object is represented by artificial features only derived from RGB images, (2) lots of manually labeled data is required by supervised learning. To address those limitations, we propose a new semi-supervised learning...
The manual intervention before the birth dates is very important to reduce the dystocia rate and enhance the survival rate of calves effectively. Information acquisition of the cows' basic sow-activity modes and regulars is one of judgments of manual intervention critical points. Now, the mainstream way has limitations that external sensors are used to obtain information by attaching to the specific...
This paper presents a new training framework for multi-class moving object classification in surveillance-oriented scene. In many practical multi-class classification tasks, the instances are close to each other in the input feature space when they have similar features. These instances may have different class labels. Since the moving objects may have various view and shape, the above phenomenon...
As traditional Chinese painting (TCP) occupies an important place in the life of modern Chinese, there are a lot of TCP images digitalized and exhibited on the Internet. However, effective identification and classification in them are an imperative problem need to be addressed. The paper proposes a content-based identification and classification scheme that represents the visual content of TCP images...
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